Image de couverture de livre

An Attention-Based Algorithm for Gravity Adaptation Zone Calibration

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteur principal:	Yu, Chen
Format:	Preprint
Publié:	2024
Sujets:	Machine Learning Artificial Intelligence Geophysics
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

An Attention-based Framework with Multistation Information for Earthquake Early Warnings
par: Huang, Yu-Ming, et autres
Publié: (2024)

Unveiling the Mechanism of Continuous Representation Full-Waveform Inversion: A Wave Based Neural Tangent Kernel Framework
par: Chen, Ruihua, et autres
Publié: (2026)

Towards physics-informed neural networks for landslide prediction
par: Dahal, Ashok, et autres
Publié: (2024)

High-Precision Geosteering via Reinforcement Learning and Particle Filters
par: Muhammad, Ressi Bonti, et autres
Publié: (2024)

Enhanced anomaly detection in well log data through the application of ensemble GANs
par: Al-Fakih, Abdulrahman, et autres
Publié: (2024)

Iterative Encoding-Decoding VAEs Anomaly Detection in NOAA's DART Time Series: A Machine Learning Approach for Enhancing Data Integrity for NASA's GRACE-FO Verification and Validation
par: Lee, Kevin
Publié: (2024)

Short-term Streamflow and Flood Forecasting based on Graph Convolutional Recurrent Neural Network and Residual Error Learning
par: Pan, Xiyu, et autres
Publié: (2024)

3-D Magnetotelluric Deep Learning Inversion Guided by Pseudo-Physical Information
par: Jiang, Peifan, et autres
Publié: (2024)

High Resolution Seismic Waveform Generation using Denoising Diffusion
par: Palgunadi, Kadek Hendrawan, et autres
Publié: (2024)

Well log data generation and imputation using sequence-based generative adversarial networks
par: Al-Fakih, Abdulrahman, et autres
Publié: (2024)

Learning Physics for Unveiling Hidden Earthquake Ground Motions via Conditional Generative Modeling
par: Ren, Pu, et autres
Publié: (2024)

Broadband Ground Motion Synthesis by Diffusion Model with Minimal Condition
par: Jung, Jaeheun, et autres
Publié: (2024)

Evaluation of Seismic Artificial Intelligence with Uncertainty
par: Myren, Samuel, et autres
Publié: (2025)

The Transparent Earth: A Multimodal Foundation Model for the Earth's Subsurface
par: Mazumder, Arnab, et autres
Publié: (2025)

GreenPhase: A Green Learning Approach for Earthquake Phase Picking
par: Wu, Yixing, et autres
Publié: (2026)

Deep learning forecasts the spatiotemporal evolution of fluid-induced microearthquakes
par: Chung, Jaehong, et autres
Publié: (2025)

Seismic Velocity Inversion from Multi-Source Shot Gathers Using Deep Segmentation Networks: Benchmarking U-Net Variants and SeismoLabV3+
par: Hasan, Mahedi
Publié: (2025)

Ensemble Graph Neural Networks for Probabilistic Sea Surface Temperature Forecasting via Input Perturbations
par: González-Santana, Alejandro J., et autres
Publié: (2026)

Optimal Sequential Decision-Making in Geosteering: A Reinforcement Learning Approach
par: Muhammad, Ressi Bonti, et autres
Publié: (2023)

Integrating Artificial Intelligence and Geophysical Insights for Earthquake Forecasting: A Cross-Disciplinary Review
par: Ying, Zhang, et autres
Publié: (2025)

An Unsupervised Machine Learning Approach for Ground-Motion Spectra Clustering and Selection
par: Bond, R. Bailey, et autres
Publié: (2022)

An uncertainty-aware Digital Shadow for underground multimodal CO2 storage monitoring
par: Gahlot, Abhinav Prakash, et autres
Publié: (2024)

Flood Prediction Using Classical and Quantum Machine Learning Models
par: Grzesiak, Marek, et autres
Publié: (2024)

Leveraging Time-Series Foundation Model for Subsurface Well Logs Prediction and Anomaly Detection
par: Koeshidayatullah, Ardiansyah, et autres
Publié: (2024)

Seismic First Break Picking in a Higher Dimension Using Deep Graph Learning
par: Wang, Hongtao, et autres
Publié: (2024)

Gemini & Physical World: Large Language Models Can Estimate the Intensity of Earthquake Shaking from Multi-Modal Social Media Posts
par: Mousavi, S. Mostafa, et autres
Publié: (2024)

Denoising of Geodetic Time Series Using Spatiotemporal Graph Neural Networks: Application to Slow Slip Event Extraction
par: Costantino, Giuseppe, et autres
Publié: (2024)

Conditional diffusion models for downscaling and bias correction of Earth system model precipitation
par: Aich, Michael, et autres
Publié: (2024)

When Geoscience Meets Generative AI and Large Language Models: Foundations, Trends, and Future Challenges
par: Hadid, Abdenour, et autres
Publié: (2024)

Improving Global Weather and Ocean Wave Forecast with Large Artificial Intelligence Models
par: Ling, Fenghua, et autres
Publié: (2024)

Controllable Probabilistic Forecasting with Stochastic Decomposition Layers
par: Schreck, John S., et autres
Publié: (2025)

MoWE : A Mixture of Weather Experts
par: Chakraborty, Dibyajyoti, et autres
Publié: (2025)

Hurdle-IMDL: An Imbalanced Learning Framework for Infrared Rainfall Retrieval
par: Zhang, Fangjian, et autres
Publié: (2025)

WISE: full-Waveform variational Inference via Subsurface Extensions
par: Yin, Ziyi, et autres
Publié: (2023)

The Physics-Informed Neural Network Gravity Model: Generation III
par: Martin, John, et autres
Publié: (2023)

Seismic Facies Analysis: A Deep Domain Adaptation Approach
par: Nasim, M Quamer, et autres
Publié: (2020)

Unsupervised Electrofacies Classification and Porosity Characterization in the Offshore Keta Basin Using Wireline Logs
par: Adams, Hamdiya, et autres
Publié: (2026)

Anomaly Detection in Soil Heavy Metal Contamination Using Unsupervised Learning for Environmental Risk Assessment
par: Adjokatse, Isaac Tettey, et autres
Publié: (2026)

Towards Efficient and Stable Ocean State Forecasting: A Continuous-Time Koopman Approach
par: Grozavescu, Rares, et autres
Publié: (2026)

LOGLO-FNO: Efficient Learning of Local and Global Features in Fourier Neural Operators
par: Kalimuthu, Marimuthu, et autres
Publié: (2025)